{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# import libraries\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "# import libraries for statistical analysis\n",
    "from scipy import stats\n",
    "from scipy.stats import norm\n",
    "from scipy.stats import ttest_ind\n",
    "from scipy.stats import ttest_rel\n",
    "from scipy.stats import ttest_1samp\n",
    "from skimage.feature import local_binary_pattern\n",
    "import matplotlib.image as mpimg\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import cv2\n",
    "from random import randint\n",
    "from skimage import exposure\n",
    "from skimage.feature import hog\n",
    "from sklearn.cluster import KMeans\n",
    "import numpy as np\n",
    "from sklearn import metrics\n",
    "from sklearn.cluster import DBSCAN, Birch, OPTICS, SpectralClustering, AgglomerativeClustering\n",
    "from sklearn.manifold import TSNE\n",
    "from skimage.measure import moments, moments_central, moments_normalized, moments_hu\n",
    "import matplotlib.image as img\n",
    "from skimage.feature import graycomatrix, graycoprops\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "\n",
    "import argparse\n",
    "import utils\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "features = ['contrast', 'dissimilarity', 'homogeneity', 'correlation']\n",
    "\n",
    "# Функция исследования родственности пикселей серого цвета, по разным функциям\n",
    "def extract_texture_features(image, feature):\n",
    "    # Преобразование изображения из одной цветовой палитры в другую (серую)\n",
    "    image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)\n",
    "    # Вычисление матрицы совпадения уровней серого.\n",
    "    # Матрица совпадения уровней серого представляет собой гистограмму совпадающих значений оттенков серого с заданным смещением по изображению.\n",
    "    glcm = graycomatrix(image, distances=[1], angles=[0], symmetric=True, normed=True)\n",
    "    # Вычисление конкретного текстурного признака матрицы совпадения уровней серого\n",
    "    return graycoprops(glcm, feature)[0][0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Функция исследования родственности пикселей серого цвета, по разным функциям\n",
    "def extract_main_color(image):\n",
    "    # Выделение главного цвета из изображения\n",
    "    hsv = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)\n",
    " \n",
    "    dominant_color = np.argmax(np.sum(hsv, axis=0))\n",
    "    \n",
    "    image = image.reshape((image.shape[0] * image.shape[1], 3))\n",
    "    \n",
    "    return dominant_color"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def color_histogram(image, bins=(8, 8, 8)):\n",
    "    # compute a 3D color histogram over the image\n",
    "    hist = cv2.calcHist([image], [0, 1, 2], None, bins, [0, 256, 0, 256, 0, 256])\n",
    "    # normalize the histogram\n",
    "    # hist = cv2.normalize(hist, hist).flatten()\n",
    "    return hist"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "def centroid_histogram(clt):\n",
    "\t# grab the number of different clusters and create a histogram\n",
    "\t# based on the number of pixels assigned to each cluster\n",
    "\tnumLabels = np.arange(0, len(np.unique(clt.labels_)) + 1)\n",
    "\t(hist, _) = np.histogram(clt.labels_, bins = numLabels)\n",
    "\t# normalize the histogram, such that it sums to one\n",
    "\thist = hist.astype(\"float\")\n",
    "\thist /= hist.sum()\n",
    "\t# return the histogram\n",
    "\treturn hist"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_colors(hist, centroids):\n",
    "\t# initialize the bar chart representing the relative frequency\n",
    "\t# of each of the colors\n",
    "\tbar = np.zeros((50, 300, 3), dtype = \"uint8\")\n",
    "\tstartX = 0\n",
    "\t# loop over the percentage of each cluster and the color of\n",
    "\t# each cluster\n",
    "\tfor (percent, color) in zip(hist, centroids):\n",
    "\t\t# plot the relative percentage of each cluster\n",
    "\t\tendX = startX + (percent * 300)\n",
    "\t\tcv2.rectangle(bar, (int(startX), 0), (int(endX), 50),\n",
    "\t\t\tcolor.astype(\"uint8\").tolist(), -1)\n",
    "\t\tstartX = endX\n",
    "\t\n",
    "\t# return the bar chart\n",
    "\treturn bar"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "def proccess_images(image):\n",
    "    # Load the image\n",
    "    image = cv2.imread(\"image.png\")\n",
    "    image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)\n",
    "    \n",
    "    # Resize it\n",
    "    h, w, _ = image.shape\n",
    "    w_new = int(100 * w / max(w, h) )\n",
    "    h_new = int(100 * h / max(w, h) )\n",
    "    \n",
    "    image = cv2.resize(image, (w_new, h_new))\n",
    "\n",
    "\n",
    "\n",
    "def texture_analysis(image):\n",
    "    # settings for LBP\n",
    "    radius = 3\n",
    "    n_points = 8 * radius\n",
    "    # compute LBP\n",
    "    lbp = local_binary_pattern(image, n_points, radius, method='uniform')\n",
    "    # compute histogram of LBP\n",
    "    n_bins = int(lbp.max() + 1)\n",
    "    hist, _ = np.histogram(lbp, density=True, bins=n_bins, range=(0, n_bins))\n",
    "    return hist\n",
    "\n",
    "def extract_shape_descriptors(image):\n",
    "    image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)\n",
    "    moments = cv2.moments(image)\n",
    "    return cv2.HuMoments(moments).flatten()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. Анализ данных, их редукция и feature engeneering\n",
    "\n",
    "Необходимо проанализировать имеющиеся данные (в файлах csv содаржаться id исследуемых объектов), охарактеризовать их (какие свойства объектов сможете найти), привести сэмплы, которые вы мануально можете отности к разным кластерам и к одному кластеру. \n",
    "\n",
    "Провести редукцию объектов двумя способами из перечисленных: уменьшение размерности, сокращение множества возможных значений, группировку, сжатие, коррекцию данных, формирование новых признаков. Провести стандартизацию признаков при необходимости.  \n",
    "\n",
    "Провести анализ с помощью PCA (или аналогичные, например, UMAP, t-SNE, PHATE) без непосредственной кластеризации и попытаться оценить верное число кластеров; привести наиболее важные компоненты, дающие больший вклад в разделение объектов. \n",
    "\n",
    "Провести интерпретацию результатов."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Загружаем необходимые данные"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "variant_number = 2\n",
    "df = pd.read_csv(f'var{variant_number}.csv',header=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>id381891.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>id778187.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>id631044.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>id897003.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>id309490.jpg</td>\n",
       "    </tr>\n",
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      ],
      "text/plain": [
       "              0\n",
       "0  id381891.jpg\n",
       "1  id778187.jpg\n",
       "2  id631044.jpg\n",
       "3  id897003.jpg\n",
       "4  id309490.jpg"
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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       "0"
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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(df.head())\n",
    "display(df.duplicated().sum())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Проанализировав датасет на начальном этапе, можно сказать, что он содержит в себе набор названий файлов с изображениями. Нет ни одного пропущенного значения. А также нет повторяющихся."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Приступаем к мануальному анализу данных. В нашем случае можно посмотреть случайные значения из массива данных"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x1de1d47bfd0>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, axarr = plt.subplots(2,2)\n",
    "axarr[0,0].imshow(mpimg.imread(f'data2/data2/{df.iloc[1900,0]}'))\n",
    "axarr[0,1].imshow(mpimg.imread(f'data2/data2/{df.iloc[2331,0]}'))\n",
    "axarr[1,0].imshow(mpimg.imread(f'data2/data2/{df.iloc[4222,0]}'))\n",
    "axarr[1,1].imshow(mpimg.imread(f'data2/data2/{df.iloc[1453,0]}'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Первое, что бросается в глаза - доминантный цвет. Проанализируем и построем кластер в зависимости от цвета"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Для удобства образуем новые признаки. \n",
    "- image - \n",
    "- shape_descriptors - \n",
    "- correlation -\n",
    "- contrast -\n",
    "- dissimilarity -\n",
    "- homogeneity -"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Загружаем данные в массив \n",
    "df.rename(columns={0: 'file_name'}, inplace=True)\n",
    "\n",
    "df[\"image\"] = df[\"file_name\"].apply(lambda x: mpimg.imread(f'data2/data2/{x}'))\n",
    "\n",
    "# Функция для исследования формы картинки\n",
    "# В обычных исследованиях обследование shape descriptor-ов используется для функционального анализа формы картинки\n",
    "df['shape_descriptors'] = df['image'].apply(extract_shape_descriptors)\n",
    "\n",
    "# Добавляем текстурные признаки в датасет\n",
    "df['correlation'] = df['image'].apply(lambda x: extract_texture_features(x, 'correlation'))\n",
    "df['contrast'] = df['image'].apply(lambda x: extract_texture_features(x, 'contrast'))\n",
    "df['dissimilarity'] = df['image'].apply(lambda x: extract_texture_features(x, 'dissimilarity'))\n",
    "df['homogeneity'] = df['image'].apply(lambda x: extract_texture_features(x, 'homogeneity'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Gray-level co-occurrence matrix (GLCM) — это статистический метод изучения текстуры, который учитывает пространственные отношения пикселей.\n",
    "\n",
    "Функции GLCM характеризуют текстуру изображения, вычисляя, как часто встречаются пары пикселей с определёнными значениями и в указанном пространственном соотношении.\n",
    "\n",
    "После создания GLCM можно извлечь из неё несколько статистических мер, которые предоставляют информацию о текстуре изображения."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>file_name</th>\n",
       "      <th>image</th>\n",
       "      <th>shape_descriptors</th>\n",
       "      <th>correlation</th>\n",
       "      <th>contrast</th>\n",
       "      <th>dissimilarity</th>\n",
       "      <th>homogeneity</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>id381891.jpg</td>\n",
       "      <td>[[[255, 255, 255], [255, 255, 255], [255, 255,...</td>\n",
       "      <td>[0.0010959161321997184, 1.5884014272685038e-09...</td>\n",
       "      <td>0.981265</td>\n",
       "      <td>143.457071</td>\n",
       "      <td>4.422323</td>\n",
       "      <td>0.383968</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>id778187.jpg</td>\n",
       "      <td>[[[254, 255, 255], [254, 255, 255], [255, 255,...</td>\n",
       "      <td>[0.0010062919936228828, 1.844552342624256e-10,...</td>\n",
       "      <td>0.961036</td>\n",
       "      <td>226.697475</td>\n",
       "      <td>4.822121</td>\n",
       "      <td>0.381333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>id631044.jpg</td>\n",
       "      <td>[[[255, 255, 255], [255, 255, 255], [255, 255,...</td>\n",
       "      <td>[0.0009553012254251771, 6.298531904915188e-10,...</td>\n",
       "      <td>0.978027</td>\n",
       "      <td>125.587980</td>\n",
       "      <td>3.828384</td>\n",
       "      <td>0.461081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>id897003.jpg</td>\n",
       "      <td>[[[254, 251, 255], [255, 253, 255], [255, 255,...</td>\n",
       "      <td>[0.001007609811087778, 3.6652113585218673e-10,...</td>\n",
       "      <td>0.965428</td>\n",
       "      <td>211.819293</td>\n",
       "      <td>4.510606</td>\n",
       "      <td>0.401165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>id309490.jpg</td>\n",
       "      <td>[[[255, 255, 255], [255, 255, 255], [255, 255,...</td>\n",
       "      <td>[0.0009581774591605681, 8.20915647825901e-10, ...</td>\n",
       "      <td>0.974786</td>\n",
       "      <td>145.265556</td>\n",
       "      <td>3.902121</td>\n",
       "      <td>0.457959</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      file_name                                              image  \\\n",
       "0  id381891.jpg  [[[255, 255, 255], [255, 255, 255], [255, 255,...   \n",
       "1  id778187.jpg  [[[254, 255, 255], [254, 255, 255], [255, 255,...   \n",
       "2  id631044.jpg  [[[255, 255, 255], [255, 255, 255], [255, 255,...   \n",
       "3  id897003.jpg  [[[254, 251, 255], [255, 253, 255], [255, 255,...   \n",
       "4  id309490.jpg  [[[255, 255, 255], [255, 255, 255], [255, 255,...   \n",
       "\n",
       "                                   shape_descriptors  correlation    contrast  \\\n",
       "0  [0.0010959161321997184, 1.5884014272685038e-09...     0.981265  143.457071   \n",
       "1  [0.0010062919936228828, 1.844552342624256e-10,...     0.961036  226.697475   \n",
       "2  [0.0009553012254251771, 6.298531904915188e-10,...     0.978027  125.587980   \n",
       "3  [0.001007609811087778, 3.6652113585218673e-10,...     0.965428  211.819293   \n",
       "4  [0.0009581774591605681, 8.20915647825901e-10, ...     0.974786  145.265556   \n",
       "\n",
       "   dissimilarity  homogeneity  \n",
       "0       4.422323     0.383968  \n",
       "1       4.822121     0.381333  \n",
       "2       3.828384     0.461081  \n",
       "3       4.510606     0.401165  \n",
       "4       3.902121     0.457959  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "setting an array element with a sequence.",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;31mTypeError\u001b[0m: only length-1 arrays can be converted to Python scalars",
      "\nThe above exception was the direct cause of the following exception:\n",
      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[175], line 4\u001b[0m\n\u001b[0;32m      2\u001b[0m \u001b[38;5;66;03m# Стандартизация признаков\u001b[39;00m\n\u001b[0;32m      3\u001b[0m scaler \u001b[38;5;241m=\u001b[39m StandardScaler()\n\u001b[1;32m----> 4\u001b[0m X_scaled \u001b[38;5;241m=\u001b[39m \u001b[43mscaler\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfit_transform\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m      5\u001b[0m \u001b[38;5;66;03m# Применение PCA\u001b[39;00m\n\u001b[0;32m      6\u001b[0m pca \u001b[38;5;241m=\u001b[39m TSNE(n_components\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m3\u001b[39m)\n",
      "File \u001b[1;32mz:\\Python\\Lib\\site-packages\\sklearn\\utils\\_set_output.py:313\u001b[0m, in \u001b[0;36m_wrap_method_output.<locals>.wrapped\u001b[1;34m(self, X, *args, **kwargs)\u001b[0m\n\u001b[0;32m    311\u001b[0m \u001b[38;5;129m@wraps\u001b[39m(f)\n\u001b[0;32m    312\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mwrapped\u001b[39m(\u001b[38;5;28mself\u001b[39m, X, \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[1;32m--> 313\u001b[0m     data_to_wrap \u001b[38;5;241m=\u001b[39m \u001b[43mf\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mX\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    314\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(data_to_wrap, \u001b[38;5;28mtuple\u001b[39m):\n\u001b[0;32m    315\u001b[0m         \u001b[38;5;66;03m# only wrap the first output for cross decomposition\u001b[39;00m\n\u001b[0;32m    316\u001b[0m         return_tuple \u001b[38;5;241m=\u001b[39m (\n\u001b[0;32m    317\u001b[0m             _wrap_data_with_container(method, data_to_wrap[\u001b[38;5;241m0\u001b[39m], X, \u001b[38;5;28mself\u001b[39m),\n\u001b[0;32m    318\u001b[0m             \u001b[38;5;241m*\u001b[39mdata_to_wrap[\u001b[38;5;241m1\u001b[39m:],\n\u001b[0;32m    319\u001b[0m         )\n",
      "File \u001b[1;32mz:\\Python\\Lib\\site-packages\\sklearn\\base.py:1098\u001b[0m, in \u001b[0;36mTransformerMixin.fit_transform\u001b[1;34m(self, X, y, **fit_params)\u001b[0m\n\u001b[0;32m   1083\u001b[0m         warnings\u001b[38;5;241m.\u001b[39mwarn(\n\u001b[0;32m   1084\u001b[0m             (\n\u001b[0;32m   1085\u001b[0m                 \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mThis object (\u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__class__\u001b[39m\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m) has a `transform`\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m   1093\u001b[0m             \u001b[38;5;167;01mUserWarning\u001b[39;00m,\n\u001b[0;32m   1094\u001b[0m         )\n\u001b[0;32m   1096\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m y \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m   1097\u001b[0m     \u001b[38;5;66;03m# fit method of arity 1 (unsupervised transformation)\u001b[39;00m\n\u001b[1;32m-> 1098\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfit\u001b[49m\u001b[43m(\u001b[49m\u001b[43mX\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mfit_params\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241m.\u001b[39mtransform(X)\n\u001b[0;32m   1099\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m   1100\u001b[0m     \u001b[38;5;66;03m# fit method of arity 2 (supervised transformation)\u001b[39;00m\n\u001b[0;32m   1101\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfit(X, y, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mfit_params)\u001b[38;5;241m.\u001b[39mtransform(X)\n",
      "File \u001b[1;32mz:\\Python\\Lib\\site-packages\\sklearn\\preprocessing\\_data.py:876\u001b[0m, in \u001b[0;36mStandardScaler.fit\u001b[1;34m(self, X, y, sample_weight)\u001b[0m\n\u001b[0;32m    874\u001b[0m \u001b[38;5;66;03m# Reset internal state before fitting\u001b[39;00m\n\u001b[0;32m    875\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_reset()\n\u001b[1;32m--> 876\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpartial_fit\u001b[49m\u001b[43m(\u001b[49m\u001b[43mX\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msample_weight\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[1;32mz:\\Python\\Lib\\site-packages\\sklearn\\base.py:1473\u001b[0m, in \u001b[0;36m_fit_context.<locals>.decorator.<locals>.wrapper\u001b[1;34m(estimator, *args, **kwargs)\u001b[0m\n\u001b[0;32m   1466\u001b[0m     estimator\u001b[38;5;241m.\u001b[39m_validate_params()\n\u001b[0;32m   1468\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m config_context(\n\u001b[0;32m   1469\u001b[0m     skip_parameter_validation\u001b[38;5;241m=\u001b[39m(\n\u001b[0;32m   1470\u001b[0m         prefer_skip_nested_validation \u001b[38;5;129;01mor\u001b[39;00m global_skip_validation\n\u001b[0;32m   1471\u001b[0m     )\n\u001b[0;32m   1472\u001b[0m ):\n\u001b[1;32m-> 1473\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfit_method\u001b[49m\u001b[43m(\u001b[49m\u001b[43mestimator\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[1;32mz:\\Python\\Lib\\site-packages\\sklearn\\preprocessing\\_data.py:912\u001b[0m, in \u001b[0;36mStandardScaler.partial_fit\u001b[1;34m(self, X, y, sample_weight)\u001b[0m\n\u001b[0;32m    880\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"Online computation of mean and std on X for later scaling.\u001b[39;00m\n\u001b[0;32m    881\u001b[0m \n\u001b[0;32m    882\u001b[0m \u001b[38;5;124;03mAll of X is processed as a single batch. This is intended for cases\u001b[39;00m\n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m    909\u001b[0m \u001b[38;5;124;03m    Fitted scaler.\u001b[39;00m\n\u001b[0;32m    910\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m    911\u001b[0m first_call \u001b[38;5;241m=\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mhasattr\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mn_samples_seen_\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m--> 912\u001b[0m X \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_validate_data\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m    913\u001b[0m \u001b[43m    \u001b[49m\u001b[43mX\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    914\u001b[0m \u001b[43m    \u001b[49m\u001b[43maccept_sparse\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mcsr\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mcsc\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    915\u001b[0m \u001b[43m    \u001b[49m\u001b[43mdtype\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mFLOAT_DTYPES\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    916\u001b[0m \u001b[43m    \u001b[49m\u001b[43mforce_all_finite\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mallow-nan\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[0;32m    917\u001b[0m \u001b[43m    \u001b[49m\u001b[43mreset\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfirst_call\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    918\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    919\u001b[0m n_features \u001b[38;5;241m=\u001b[39m X\u001b[38;5;241m.\u001b[39mshape[\u001b[38;5;241m1\u001b[39m]\n\u001b[0;32m    921\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m sample_weight \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n",
      "File \u001b[1;32mz:\\Python\\Lib\\site-packages\\sklearn\\base.py:633\u001b[0m, in \u001b[0;36mBaseEstimator._validate_data\u001b[1;34m(self, X, y, reset, validate_separately, cast_to_ndarray, **check_params)\u001b[0m\n\u001b[0;32m    631\u001b[0m         out \u001b[38;5;241m=\u001b[39m X, y\n\u001b[0;32m    632\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m no_val_X \u001b[38;5;129;01mand\u001b[39;00m no_val_y:\n\u001b[1;32m--> 633\u001b[0m     out \u001b[38;5;241m=\u001b[39m \u001b[43mcheck_array\u001b[49m\u001b[43m(\u001b[49m\u001b[43mX\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43minput_name\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mX\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mcheck_params\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    634\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m no_val_X \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m no_val_y:\n\u001b[0;32m    635\u001b[0m     out \u001b[38;5;241m=\u001b[39m _check_y(y, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mcheck_params)\n",
      "File \u001b[1;32mz:\\Python\\Lib\\site-packages\\sklearn\\utils\\validation.py:1007\u001b[0m, in \u001b[0;36mcheck_array\u001b[1;34m(array, accept_sparse, accept_large_sparse, dtype, order, copy, force_all_finite, ensure_2d, allow_nd, ensure_min_samples, ensure_min_features, estimator, input_name)\u001b[0m\n\u001b[0;32m   1005\u001b[0m         array \u001b[38;5;241m=\u001b[39m xp\u001b[38;5;241m.\u001b[39mastype(array, dtype, copy\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m)\n\u001b[0;32m   1006\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m-> 1007\u001b[0m         array \u001b[38;5;241m=\u001b[39m \u001b[43m_asarray_with_order\u001b[49m\u001b[43m(\u001b[49m\u001b[43marray\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43morder\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43morder\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdtype\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdtype\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mxp\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mxp\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m   1008\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m ComplexWarning \u001b[38;5;28;01mas\u001b[39;00m complex_warning:\n\u001b[0;32m   1009\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[0;32m   1010\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mComplex data not supported\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;132;01m{}\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;241m.\u001b[39mformat(array)\n\u001b[0;32m   1011\u001b[0m     ) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mcomplex_warning\u001b[39;00m\n",
      "File \u001b[1;32mz:\\Python\\Lib\\site-packages\\sklearn\\utils\\_array_api.py:746\u001b[0m, in \u001b[0;36m_asarray_with_order\u001b[1;34m(array, dtype, order, copy, xp, device)\u001b[0m\n\u001b[0;32m    744\u001b[0m     array \u001b[38;5;241m=\u001b[39m numpy\u001b[38;5;241m.\u001b[39marray(array, order\u001b[38;5;241m=\u001b[39morder, dtype\u001b[38;5;241m=\u001b[39mdtype)\n\u001b[0;32m    745\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m--> 746\u001b[0m     array \u001b[38;5;241m=\u001b[39m numpy\u001b[38;5;241m.\u001b[39masarray(array, order\u001b[38;5;241m=\u001b[39morder, dtype\u001b[38;5;241m=\u001b[39mdtype)\n\u001b[0;32m    748\u001b[0m \u001b[38;5;66;03m# At this point array is a NumPy ndarray. We convert it to an array\u001b[39;00m\n\u001b[0;32m    749\u001b[0m \u001b[38;5;66;03m# container that is consistent with the input's namespace.\u001b[39;00m\n\u001b[0;32m    750\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m xp\u001b[38;5;241m.\u001b[39masarray(array)\n",
      "\u001b[1;31mValueError\u001b[0m: setting an array element with a sequence."
     ]
    }
   ],
   "source": [
    "x = df[\"image\"].values.flatten()\n",
    "# Стандартизация признаков\n",
    "scaler = StandardScaler()\n",
    "X_scaled = scaler.fit_transform(x)\n",
    "# Применение PCA\n",
    "pca = TSNE(n_components=3)\n",
    "X_pca = pca.fit_transform(X_scaled)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "kmeans = KMeans(n_clusters=3, random_state=42)\n",
    "kmeans.fit(X_pca)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# val = extract_main_color(mpimg.imread(f'data2/data2/{df.iloc[1900,0]}'))\n",
    "\n",
    "val = mpimg.imread(f'data2/data2/{df.iloc[1900,0]}')\n",
    "image = val.reshape((val.shape[0] * val.shape[1], 3))\n",
    "clt = KMeans(n_clusters = 7)\n",
    "clt.fit(image)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "Expected a 2-dimensional container but got <class 'pandas.core.series.Series'> instead. Pass a DataFrame containing a single row (i.e. single sample) or a single column (i.e. single feature) instead.",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[68], line 2\u001b[0m\n\u001b[0;32m      1\u001b[0m kmeans \u001b[38;5;241m=\u001b[39m KMeans(n_clusters\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m3\u001b[39m, random_state\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0\u001b[39m, n_init\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mauto\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m----> 2\u001b[0m label \u001b[38;5;241m=\u001b[39m \u001b[43mkmeans\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfit_predict\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdf\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mcontrast\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m      3\u001b[0m u_labels \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39munique(label)\n\u001b[0;32m      4\u001b[0m \u001b[38;5;66;03m# for i in u_labels:\u001b[39;00m\n\u001b[0;32m      5\u001b[0m \u001b[38;5;66;03m#     plt.scatter(contrast[label == i, 0] , contrast[label == i, 1] , label = i)\u001b[39;00m\n\u001b[0;32m      6\u001b[0m \u001b[38;5;66;03m# plt.legend()\u001b[39;00m\n\u001b[0;32m      7\u001b[0m \u001b[38;5;66;03m# plt.show()\u001b[39;00m\n",
      "File \u001b[1;32mz:\\Python\\Lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1067\u001b[0m, in \u001b[0;36m_BaseKMeans.fit_predict\u001b[1;34m(self, X, y, sample_weight)\u001b[0m\n\u001b[0;32m   1044\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mfit_predict\u001b[39m(\u001b[38;5;28mself\u001b[39m, X, y\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, sample_weight\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m):\n\u001b[0;32m   1045\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"Compute cluster centers and predict cluster index for each sample.\u001b[39;00m\n\u001b[0;32m   1046\u001b[0m \n\u001b[0;32m   1047\u001b[0m \u001b[38;5;124;03m    Convenience method; equivalent to calling fit(X) followed by\u001b[39;00m\n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m   1065\u001b[0m \u001b[38;5;124;03m        Index of the cluster each sample belongs to.\u001b[39;00m\n\u001b[0;32m   1066\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[1;32m-> 1067\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfit\u001b[49m\u001b[43m(\u001b[49m\u001b[43mX\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msample_weight\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msample_weight\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241m.\u001b[39mlabels_\n",
      "File \u001b[1;32mz:\\Python\\Lib\\site-packages\\sklearn\\base.py:1473\u001b[0m, in \u001b[0;36m_fit_context.<locals>.decorator.<locals>.wrapper\u001b[1;34m(estimator, *args, **kwargs)\u001b[0m\n\u001b[0;32m   1466\u001b[0m     estimator\u001b[38;5;241m.\u001b[39m_validate_params()\n\u001b[0;32m   1468\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m config_context(\n\u001b[0;32m   1469\u001b[0m     skip_parameter_validation\u001b[38;5;241m=\u001b[39m(\n\u001b[0;32m   1470\u001b[0m         prefer_skip_nested_validation \u001b[38;5;129;01mor\u001b[39;00m global_skip_validation\n\u001b[0;32m   1471\u001b[0m     )\n\u001b[0;32m   1472\u001b[0m ):\n\u001b[1;32m-> 1473\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfit_method\u001b[49m\u001b[43m(\u001b[49m\u001b[43mestimator\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[1;32mz:\\Python\\Lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1461\u001b[0m, in \u001b[0;36mKMeans.fit\u001b[1;34m(self, X, y, sample_weight)\u001b[0m\n\u001b[0;32m   1433\u001b[0m \u001b[38;5;129m@_fit_context\u001b[39m(prefer_skip_nested_validation\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[0;32m   1434\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mfit\u001b[39m(\u001b[38;5;28mself\u001b[39m, X, y\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, sample_weight\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m):\n\u001b[0;32m   1435\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"Compute k-means clustering.\u001b[39;00m\n\u001b[0;32m   1436\u001b[0m \n\u001b[0;32m   1437\u001b[0m \u001b[38;5;124;03m    Parameters\u001b[39;00m\n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m   1459\u001b[0m \u001b[38;5;124;03m        Fitted estimator.\u001b[39;00m\n\u001b[0;32m   1460\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[1;32m-> 1461\u001b[0m     X \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_validate_data\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m   1462\u001b[0m \u001b[43m        \u001b[49m\u001b[43mX\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m   1463\u001b[0m \u001b[43m        \u001b[49m\u001b[43maccept_sparse\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mcsr\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[0;32m   1464\u001b[0m \u001b[43m        \u001b[49m\u001b[43mdtype\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m[\u001b[49m\u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfloat64\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfloat32\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m   1465\u001b[0m \u001b[43m        \u001b[49m\u001b[43morder\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mC\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[0;32m   1466\u001b[0m \u001b[43m        \u001b[49m\u001b[43mcopy\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcopy_x\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m   1467\u001b[0m \u001b[43m        \u001b[49m\u001b[43maccept_large_sparse\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[0;32m   1468\u001b[0m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m   1470\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_check_params_vs_input(X)\n\u001b[0;32m   1472\u001b[0m     random_state \u001b[38;5;241m=\u001b[39m check_random_state(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mrandom_state)\n",
      "File \u001b[1;32mz:\\Python\\Lib\\site-packages\\sklearn\\base.py:633\u001b[0m, in \u001b[0;36mBaseEstimator._validate_data\u001b[1;34m(self, X, y, reset, validate_separately, cast_to_ndarray, **check_params)\u001b[0m\n\u001b[0;32m    631\u001b[0m         out \u001b[38;5;241m=\u001b[39m X, y\n\u001b[0;32m    632\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m no_val_X \u001b[38;5;129;01mand\u001b[39;00m no_val_y:\n\u001b[1;32m--> 633\u001b[0m     out \u001b[38;5;241m=\u001b[39m \u001b[43mcheck_array\u001b[49m\u001b[43m(\u001b[49m\u001b[43mX\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43minput_name\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mX\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mcheck_params\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    634\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m no_val_X \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m no_val_y:\n\u001b[0;32m    635\u001b[0m     out \u001b[38;5;241m=\u001b[39m _check_y(y, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mcheck_params)\n",
      "File \u001b[1;32mz:\\Python\\Lib\\site-packages\\sklearn\\utils\\validation.py:1045\u001b[0m, in \u001b[0;36mcheck_array\u001b[1;34m(array, accept_sparse, accept_large_sparse, dtype, order, copy, force_all_finite, ensure_2d, allow_nd, ensure_min_samples, ensure_min_features, estimator, input_name)\u001b[0m\n\u001b[0;32m   1038\u001b[0m         \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m   1039\u001b[0m             msg \u001b[38;5;241m=\u001b[39m (\n\u001b[0;32m   1040\u001b[0m                 \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mExpected 2D array, got 1D array instead:\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124marray=\u001b[39m\u001b[38;5;132;01m{\u001b[39;00marray\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m.\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m   1041\u001b[0m                 \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mReshape your data either using array.reshape(-1, 1) if \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m   1042\u001b[0m                 \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124myour data has a single feature or array.reshape(1, -1) \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m   1043\u001b[0m                 \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mif it contains a single sample.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m   1044\u001b[0m             )\n\u001b[1;32m-> 1045\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(msg)\n\u001b[0;32m   1047\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m dtype_numeric \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mhasattr\u001b[39m(array\u001b[38;5;241m.\u001b[39mdtype, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mkind\u001b[39m\u001b[38;5;124m\"\u001b[39m) \u001b[38;5;129;01mand\u001b[39;00m array\u001b[38;5;241m.\u001b[39mdtype\u001b[38;5;241m.\u001b[39mkind \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mUSV\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[0;32m   1048\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[0;32m   1049\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdtype=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mnumeric\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m is not compatible with arrays of bytes/strings.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m   1050\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mConvert your data to numeric values explicitly instead.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m   1051\u001b[0m     )\n",
      "\u001b[1;31mValueError\u001b[0m: Expected a 2-dimensional container but got <class 'pandas.core.series.Series'> instead. Pass a DataFrame containing a single row (i.e. single sample) or a single column (i.e. single feature) instead."
     ]
    }
   ],
   "source": [
    "kmeans = KMeans(n_clusters=3, random_state=0, n_init=\"auto\")\n",
    "label = kmeans.fit_predict(df['contrast'])\n",
    "u_labels = np.unique(label)\n",
    "# for i in u_labels:\n",
    "#     plt.scatter(contrast[label == i, 0] , contrast[label == i, 1] , label = i)\n",
    "# plt.legend()\n",
    "# plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Добавили в датафрейм в качестве второй колонки изображения в схеме пикселей RGB"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Уменьшение размерности методом TSNE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x2e7eab13dd0>"
      ]
     },
     "execution_count": 131,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(imgFeature[:, 0], imgFeature[:, 1], c = imgFeature / 255, s=5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics.cluster import adjusted_mutual_info_score"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "За эталон метрики возьмем kmeans (так как у него будет количество кластеров указано явно)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "kmeans"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "DBSCAN"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.016087250090595005\n"
     ]
    },
    {
     "ename": "",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31mThe Kernel crashed while executing code in the current cell or a previous cell. \n",
      "\u001b[1;31mPlease review the code in the cell(s) to identify a possible cause of the failure. \n",
      "\u001b[1;31mClick <a href='https://aka.ms/vscodeJupyterKernelCrash'>here</a> for more info. \n",
      "\u001b[1;31mView Jupyter <a href='command:jupyter.viewOutput'>log</a> for further details."
     ]
    }
   ],
   "source": [
    "db = DBSCAN(eps=0.3, min_samples=10).fit(imgFeature)\n",
    "labels = db.labels_\n",
    "u_labels = np.unique(labels)\n",
    "for i in u_labels:\n",
    "    plt.scatter(imgFeature[label == i, 0] , imgFeature[label == i, 1])\n",
    "plt.legend()\n",
    "plt.show()\n",
    "print(adjusted_mutual_info_score(label, labels))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "BIRCH"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.12279508666704429\n"
     ]
    }
   ],
   "source": [
    "brc = Birch(n_clusters=None)\n",
    "brc.fit(imgFeature)\n",
    "labels = brc.labels_\n",
    "u_labels = np.unique(labels)\n",
    "for i in u_labels:\n",
    "    plt.scatter(imgFeature[labels == i, 0] , imgFeature[labels == i, 1])\n",
    "plt.legend()\n",
    "plt.show()\n",
    "\n",
    "print(adjusted_mutual_info_score(label, labels))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Optics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "z:\\Python\\Lib\\site-packages\\sklearn\\cluster\\_optics.py:992: RuntimeWarning: divide by zero encountered in divide\n",
      "  ratio = reachability_plot[:-1] / reachability_plot[1:]\n",
      "No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.14456218916463662\n"
     ]
    }
   ],
   "source": [
    "brc = OPTICS(min_samples=2)\n",
    "brc.fit(imgFeature)\n",
    "labels = brc.labels_\n",
    "u_labels = np.unique(labels)\n",
    "for i in u_labels:\n",
    "    plt.scatter(imgFeature[labels == i, 0] , imgFeature[labels == i, 1])\n",
    "plt.legend()\n",
    "plt.show()\n",
    "print(adjusted_mutual_info_score(label, labels))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Время выполнения написано на каждом блоке"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
